Senior CLM analytics
Tasks
- Build and standardise CLM measurement frameworks
- Classify customer lifecycle stages
- Define best practices and reporting standards for CLM analytics
- Develop churn risk and upsell predictive models
- Evaluate campaign effectiveness with CLM marketing
- Manage analytics workstreams across multiple markets
- Own A B testing and experimentation for CLM campaigns
- Translate customer data into lifecycle triggers and personalization strategies
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQuery | Braze | CRM Analytics | Campaign analytics | Churn modeling | Customer lifecycle | Customer lifecycle management | Data Visualization | Databricks | Experimentation Methodology | Iterable | Lifecycle Management | Looker | Marketing Cloud | MoEngage | Power BI | Predictive Modeling | Python | Redshift | SQL | Salesforce Marketing | Salesforce Marketing Cloud | Snowflake | Tableau | Upsell modeling
Education
Regions
Countries
States
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